Browsing Faculty of Natural and Agricultural Sciences by Subject "Robust models"
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Experiments to improve forecasting accuracy of regression models with minimal assumptions
(ORLab Analytics, 2010)The forecasting accuracy of a regression model relies heavily on the applicability of the assumptions made by the model builder. In addition, the presence of outliers may also lead to models that are not reliable and thus ...